aranch / whisper-ui

Streamlit UI for OpenAI's Whisper

Streamlit UI for OpenAI's Whisper transcription & analytics

demo.mp4

This is a simple Streamlit UI for OpenAI's Whisper speech-to-text model. It let's you automatically select media by YouTube URL or select local files & then runs Whisper on them. Following that, it will display some basic analytics on the transcription. Feel free to send a PR if you want to add any more analytics or features!

Setup

This was built & tested on Python 3.9 but should also work on Python 3.7+ as with the original Whisper repo). You'll need to install ffmpeg on your system. Then, install the requirements with pip.

pip install -r requirements.txt

Usage

Once you're set up, you can run the app with:

streamlit run 01_Transcribe.py

This will open a new tab in your browser with the app. You can then select a YouTube URL or local file & click "Run Whisper" to run the model on the selected media.

License

Whisper is licensed under MIT while Streamlit is licensed under Apache 2.0. Everything else is licensed under MIT.